Political Science | Topics in Data Analysis
Y577 | 25123 | Ensley


This course is primarily concerned with regression analysis of
political phenomena via maximum-likelihood estimation.  In many
situations, the Classic Linear Regression Model (CLRM) is unsuitable
for analyzing data that are of interest to political scientists.
This course will introduce students to a set of methods and
techniques for handling situations in which the assumptions of the
CLRM are violated.  In particular, the methods employed will
consider techniques for dealing with categorical and limited
dependent variables.  Models to be covered include: logit, probit,
multinomial logit, ordered probit, models for event counts, and
duration models. Although there will be emphasis on the technical
aspects, most of our attention will be directed to the application
of these methods to political phenomena and the presentation of the
results.